{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 6 samples\n",
      "Epoch 1/5000\n",
      "6/6 [==============================] - 0s 16ms/sample - loss: 26.0616\n",
      "Epoch 2/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 20.7992\n",
      "Epoch 3/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 16.6530\n",
      "Epoch 4/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 13.3850\n",
      "Epoch 5/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 10.8081\n",
      "Epoch 6/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 8.7750\n",
      "Epoch 7/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 7.1699\n",
      "Epoch 8/5000\n",
      "6/6 [==============================] - 0s 198us/sample - loss: 5.9016\n",
      "Epoch 9/5000\n",
      "6/6 [==============================] - 0s 230us/sample - loss: 4.8984\n",
      "Epoch 10/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 4.1039\n",
      "Epoch 11/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 3.4736\n",
      "Epoch 12/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 2.9728\n",
      "Epoch 13/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 2.5738\n",
      "Epoch 14/5000\n",
      "6/6 [==============================] - 0s 251us/sample - loss: 2.2551\n",
      "Epoch 15/5000\n",
      "6/6 [==============================] - 0s 167us/sample - loss: 1.9996\n",
      "Epoch 16/5000\n",
      "6/6 [==============================] - 0s 238us/sample - loss: 1.7940\n",
      "Epoch 17/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.6277\n",
      "Epoch 18/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.4924\n",
      "Epoch 19/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.3816\n",
      "Epoch 20/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.2902\n",
      "Epoch 21/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.2141\n",
      "Epoch 22/5000\n",
      "6/6 [==============================] - 0s 84us/sample - loss: 1.1501\n",
      "Epoch 23/5000\n",
      "6/6 [==============================] - 0s 211us/sample - loss: 1.0958\n",
      "Epoch 24/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0491\n",
      "Epoch 25/5000\n",
      "6/6 [==============================] - 0s 168us/sample - loss: 1.0085\n",
      "Epoch 26/5000\n",
      "6/6 [==============================] - 0s 167us/sample - loss: 0.9729\n",
      "Epoch 27/5000\n",
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      "Epoch 28/5000\n",
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      "Epoch 30/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 0.8626\n",
      "Epoch 31/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 0.8404\n",
      "Epoch 32/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 0.8196\n",
      "Epoch 33/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 0.7999\n",
      "Epoch 34/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 0.7813\n",
      "Epoch 35/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 0.7635\n",
      "Epoch 36/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 0.7465\n",
      "Epoch 37/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 0.7301\n",
      "Epoch 38/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 0.7142\n",
      "Epoch 39/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 0.6989\n",
      "Epoch 40/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 0.6840\n",
      "Epoch 41/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 0.6696\n",
      "Epoch 42/5000\n",
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      "Epoch 43/5000\n",
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      "Epoch 44/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 0.6284\n",
      "Epoch 45/5000\n",
      "6/6 [==============================] - 0s 332us/sample - loss: 0.6153\n",
      "Epoch 46/5000\n",
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      "Epoch 47/5000\n",
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      "Epoch 48/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 0.5779\n",
      "Epoch 49/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 0.5660\n",
      "Epoch 50/5000\n",
      "6/6 [==============================] - 0s 165us/sample - loss: 0.5543\n",
      "Epoch 51/5000\n",
      "6/6 [==============================] - 0s 176us/sample - loss: 0.5429\n",
      "Epoch 52/5000\n",
      "6/6 [==============================] - 0s 333us/sample - loss: 0.5317\n",
      "Epoch 53/5000\n",
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      "Epoch 54/5000\n",
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      "Epoch 55/5000\n",
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      "Epoch 65/5000\n",
      "6/6 [==============================] - 0s 176us/sample - loss: 0.4059\n",
      "Epoch 66/5000\n",
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      "Epoch 68/5000\n",
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      "Epoch 70/5000\n",
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      "Epoch 71/5000\n",
      "6/6 [==============================] - 0s 189us/sample - loss: 0.3584\n",
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      "6/6 [==============================] - 0s 166us/sample - loss: 0.3510\n",
      "Epoch 73/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 0.3438\n",
      "Epoch 74/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 0.3367\n",
      "Epoch 75/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 0.3298\n",
      "Epoch 76/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 0.3230\n",
      "Epoch 77/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 0.3164\n",
      "Epoch 78/5000\n",
      "6/6 [==============================] - 0s 139us/sample - loss: 0.3099\n",
      "Epoch 79/5000\n",
      "6/6 [==============================] - 0s 157us/sample - loss: 0.3035\n",
      "Epoch 80/5000\n",
      "6/6 [==============================] - 0s 167us/sample - loss: 0.2973\n",
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      "Epoch 82/5000\n",
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      "Epoch 83/5000\n",
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      "Epoch 84/5000\n",
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      "Epoch 85/5000\n",
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      "Epoch 86/5000\n",
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      "Epoch 88/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 0.2518\n",
      "Epoch 89/5000\n",
      "6/6 [==============================] - 0s 169us/sample - loss: 0.2466\n",
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      "6/6 [==============================] - 0s 164us/sample - loss: 0.2416\n",
      "Epoch 91/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 0.2366\n",
      "Epoch 92/5000\n",
      "6/6 [==============================] - 0s 164us/sample - loss: 0.2318\n",
      "Epoch 93/5000\n",
      "6/6 [==============================] - 0s 352us/sample - loss: 0.2270\n",
      "Epoch 94/5000\n",
      "6/6 [==============================] - 0s 167us/sample - loss: 0.2223\n",
      "Epoch 95/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 0.2178\n",
      "Epoch 96/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 0.2133\n",
      "Epoch 97/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 0.2089\n",
      "Epoch 98/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 0.2046\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 99/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 0.2004\n",
      "Epoch 100/5000\n",
      "6/6 [==============================] - 0s 84us/sample - loss: 0.1963\n",
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      "Epoch 105/5000\n",
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      "Epoch 106/5000\n",
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      "Epoch 108/5000\n",
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      "Epoch 110/5000\n",
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      "Epoch 128/5000\n",
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      "Epoch 134/5000\n",
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      "Epoch 135/5000\n",
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      "Epoch 136/5000\n",
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      "Epoch 139/5000\n",
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      "Epoch 196/5000\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 197/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 0.0262\n",
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      "Epoch 200/5000\n",
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      "Epoch 205/5000\n",
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     ]
    },
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     "text": [
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     ]
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     ]
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     "text": [
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     ]
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     ]
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     "text": [
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     ]
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     ]
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     "text": [
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     ]
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     ]
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     ]
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     ]
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     "text": [
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     ]
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     ]
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     ]
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     ]
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     ]
    },
    {
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     "text": [
      "Epoch 1963/5000\n",
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     ]
    },
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     "text": [
      "Epoch 2055/5000\n",
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     ]
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     ]
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     ]
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     ]
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      "Epoch 2423/5000\n",
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     ]
    },
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     "text": [
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     ]
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     ]
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     ]
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     ]
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     ]
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      "Epoch 2975/5000\n",
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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      "Epoch 4912/5000\n",
      "6/6 [==============================] - 0s 165us/sample - loss: 1.0604e-11\n",
      "Epoch 4913/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4914/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4915/5000\n",
      "6/6 [==============================] - 0s 167us/sample - loss: 1.0604e-11\n",
      "Epoch 4916/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4917/5000\n",
      "6/6 [==============================] - 0s 169us/sample - loss: 1.0604e-11\n",
      "Epoch 4918/5000\n",
      "6/6 [==============================] - 0s 164us/sample - loss: 1.0604e-11\n",
      "Epoch 4919/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4920/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4921/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4922/5000\n",
      "6/6 [==============================] - 0s 176us/sample - loss: 1.0604e-11\n",
      "Epoch 4923/5000\n",
      "6/6 [==============================] - 0s 181us/sample - loss: 1.0604e-11\n",
      "Epoch 4924/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4925/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4926/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4927/5000\n",
      "6/6 [==============================] - 0s 169us/sample - loss: 1.0604e-11\n",
      "Epoch 4928/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4929/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4930/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4931/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4932/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4933/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4934/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4935/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4936/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4937/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4938/5000\n",
      "6/6 [==============================] - 0s 195us/sample - loss: 1.0604e-11\n",
      "Epoch 4939/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4940/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4941/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4942/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4943/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4944/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4945/5000\n",
      "6/6 [==============================] - 0s 169us/sample - loss: 1.0604e-11\n",
      "Epoch 4946/5000\n",
      "6/6 [==============================] - 0s 181us/sample - loss: 1.0604e-11\n",
      "Epoch 4947/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4948/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4949/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4950/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4951/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4952/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4953/5000\n",
      "6/6 [==============================] - 0s 170us/sample - loss: 1.0604e-11\n",
      "Epoch 4954/5000\n",
      "6/6 [==============================] - 0s 187us/sample - loss: 1.0604e-11\n",
      "Epoch 4955/5000\n",
      "6/6 [==============================] - 0s 173us/sample - loss: 1.0604e-11\n",
      "Epoch 4956/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4957/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4958/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4959/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4960/5000\n",
      "6/6 [==============================] - 0s 169us/sample - loss: 1.0604e-11\n",
      "Epoch 4961/5000\n",
      "6/6 [==============================] - 0s 163us/sample - loss: 1.0604e-11\n",
      "Epoch 4962/5000\n",
      "6/6 [==============================] - 0s 175us/sample - loss: 1.0604e-11\n",
      "Epoch 4963/5000\n",
      "6/6 [==============================] - 0s 167us/sample - loss: 1.0604e-11\n",
      "Epoch 4964/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4965/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4966/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4967/5000\n",
      "6/6 [==============================] - 0s 168us/sample - loss: 1.0604e-11\n",
      "Epoch 4968/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4969/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4970/5000\n",
      "6/6 [==============================] - 0s 177us/sample - loss: 1.0604e-11\n",
      "Epoch 4971/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4972/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4973/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4974/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4975/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4976/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4977/5000\n",
      "6/6 [==============================] - 0s 336us/sample - loss: 1.0604e-11\n",
      "Epoch 4978/5000\n",
      "6/6 [==============================] - 0s 179us/sample - loss: 1.0604e-11\n",
      "Epoch 4979/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4980/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4981/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4982/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4983/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4984/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4985/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4986/5000\n",
      "6/6 [==============================] - 0s 84us/sample - loss: 1.0604e-11\n",
      "Epoch 4987/5000\n",
      "6/6 [==============================] - 0s 151us/sample - loss: 1.0604e-11\n",
      "Epoch 4988/5000\n",
      "6/6 [==============================] - 0s 262us/sample - loss: 1.0604e-11\n",
      "Epoch 4989/5000\n",
      "6/6 [==============================] - 0s 174us/sample - loss: 1.0604e-11\n",
      "Epoch 4990/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4991/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 4992/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4993/5000\n",
      "6/6 [==============================] - 0s 251us/sample - loss: 1.0604e-11\n",
      "Epoch 4994/5000\n",
      "6/6 [==============================] - 0s 84us/sample - loss: 1.0604e-11\n",
      "Epoch 4995/5000\n",
      "6/6 [==============================] - 0s 167us/sample - loss: 1.0604e-11\n",
      "Epoch 4996/5000\n",
      "6/6 [==============================] - 0s 169us/sample - loss: 1.0604e-11\n",
      "Epoch 4997/5000\n",
      "6/6 [==============================] - 0s 0s/sample - loss: 1.0604e-11\n",
      "Epoch 4998/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 4999/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "Epoch 5000/5000\n",
      "6/6 [==============================] - 0s 166us/sample - loss: 1.0604e-11\n",
      "[[18.999987]]\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "from tensorflow import keras\n",
    "\n",
    "model = keras.Sequential([keras.layers.Dense(units=1, input_shape=[1])])\n",
    "model.compile(optimizer='sgd', loss='mean_squared_error')\n",
    "\n",
    "xs = np.array([-1.0, 0.0, 1.0, 2.0, 3.0, 4.0], dtype=float)\n",
    "ys = np.array([-3.0, -1.0, 1.0, 3.0, 5.0, 7.0], dtype=float)\n",
    "\n",
    "model.fit(xs,ys,epochs=5000)\n",
    "\n",
    "print(model.predict([10.0]))"
   ]
  }
 ],
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